Predictive coding under the free-energy principle
- BiologyPhilosophical Transactions of the Royal Society B: Biological Sciences
This paper considers prediction and perceptual categorization as an inference problem that is solved by the brain, whose hierarchical and dynamical structure enables simulated brains to recognize and predict trajectories or sequences of sensory states.
Recognition Dynamics in the Brain under the Free Energy Principle
- Computer ScienceNeural Computation
This work formulate the computational processes of perception in the framework of the principle of least action by postulating the theoretical action as a time integral of the variational free energy in the neurosciences and derives neural recognition dynamics (RD), which by construction reduces to the Bayesian filtering of external states from noisy sensory inputs.
Recognition Dynamics of the Brain in the Free Energy Principle
To manifest the utility of the theory, this work provides how the neural computation may be implemented biophysically at a single-cell level and subsequently be scaled up to a large-scale functional architecture of the brain.
A conceptual consideration of the free energy principle in cognitive maps: How cognitive maps help reduce surprise
ATTRACTORS IN SONG
- Computer Science
This paper summarizes our recent attempts to integrate action and perception within a single optimization framework. We start with a statistical formulation of Helmholtz's ideas about neural energy…
Active inference leads to Bayesian neurophysiology
- Psychology, BiologyNeuroscience Research
Applications of the Free Energy Principle to Machine Learning and Neuroscience
- Computer ScienceArXiv
Predictive coding, a neurobiologically plausible process theory derived from the free energy principle, is focused on, showing how predictive coding can be scaled up and extended to be more biologically plausible, and elucidating its close links with other methods such as Kalman Filtering.
A Bayesian and Emergent View of the Brain
Although the theory accounts for the automatic, infraconscious side of the processing of information in the brain, it is in good accord with Roger Sperry’s theory of consciousness as a theory of strong emergence and the solidity of the law of “minimization of free energy” proposed by Friston is too soon to evaluate.
The Anatomy of Inference: Generative Models and Brain Structure
- Biology, PsychologyFront. Comput. Neurosci.
It is argued that the form of the generative models required for inference constrains the way in which brain regions connect to one another, and is illustrated in four different domains: perception, planning, attention, and movement.
The free-energy principle: a rough guide to the brain?
- PhysicsTrends in Cognitive Sciences
SHOWING 1-10 OF 62 REFERENCES
A theory of cortical responses
- Biology, PsychologyPhilosophical Transactions of the Royal Society B: Biological Sciences
The aims of this article are to encompass many apparently unrelated anatomical, physiological and psychophysical attributes of the brain within a single theoretical perspective and to provide a principled way to understand many aspects of cortical organization and responses.
Value-dependent selection in the brain: Simulation in a synthetic neural model
- Psychology, BiologyNeuroscience
Dynamic representations and generative models of brain function
- Biology, PsychologyBrain Research Bulletin
The Helmholtz Machine
- Computer ScienceNeural Computation
A way of finessing this combinatorial explosion by maximizing an easily computed lower bound on the probability of the observations is described, viewed as a form of hierarchical self-supervised learning that may relate to the function of bottom-up and top-down cortical processing pathways.
Bayesian integration in sensorimotor learning
This work shows that subjects internally represent both the statistical distribution of the task and their sensory uncertainty, combining them in a manner consistent with a performance-optimizing bayesian process.
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
- Biology, Psychology
Results suggest that rather than being exclusively feedforward phenomena, nonclassical surround effects in the visual cortex may also result from cortico-cortical feedback as a consequence of the visual system using an efficient hierarchical strategy for encoding natural images.
On the computational architecture of the neocortex. II. The role of cortico-cortical loops.
- BiologyBiological cybernetics
A hypothesis on the role of the reciprocal, topographic pathways between two cortical areas, one often a 'higher' area dealing with more abstract information about the world, the other 'lower', deals with more concrete data, is put forward.
On the computational architecture of the neocortex
- Computer ScienceBiological Cybernetics
A hypothesis on the role of the reciprocal, topographic pathways between two cortical areas, one often a ‘higher’ area dealing with more abstract information about the world, the other ‘lower’, deals with more concrete data is put forward.